Due to internal nonlinearities, as well as both natural and anthropogenic external forcings, the climate system (atmosphere, cryosphere, biosphere, lithosphere, hydrosphere) is variable over huge ranges of space and time scales. This variability is inextricably linked to uncertainties in both models and in empirical analyses. This session aims to bring together climate modellists, paleoclimate researchers and nonlinear geoscientists. Papers are solicited that:
a) Systematically compare and contrast the statistical variability and uncertainties of forcings and responses in space and in time of instrumental and paleo data as well as with model outputs.
b) Use spectra, wavelets, fluctuation analysis or related analysis techniques to statistically characterize and understand climate data, paleodata and model outputs over wide ranges of scale.
c) Use deterministic or stochastic models having space-time variability over wide ranges. This includes GCM's, Linear Inverse Models, scaling (fractal, multifractal) and chaotic models.